diff --git a/bookwyrm/templates/about/about.html b/bookwyrm/templates/about/about.html
index 3dd53d19b..5aa68d1e0 100644
--- a/bookwyrm/templates/about/about.html
+++ b/bookwyrm/templates/about/about.html
@@ -30,7 +30,7 @@
{% blocktrans trimmed with title=top_rated|book_title site_name=site.name rating=top_rated.rating|floatformat:1 %}
- {{ title }} is {{ site_name }}'s most beloved book, with a {{ rating }} rating out of 5
+ {{ title }} is {{ site_name }}'s most beloved book, with an average rating of {{ rating }} out of 5.
{% endblocktrans %}
@@ -44,7 +44,7 @@
{% blocktrans trimmed with title=wanted|book_title site_name=site.name %}
- More {{ site_name }} users want to read {{ title }}
+ More {{ site_name }} users want to read {{ title }}.
{% endblocktrans %}
@@ -58,7 +58,7 @@
{% blocktrans trimmed with title=controversial|book_title site_name=site.name %}
- {{ title }} has the most divisive ratings of any book on {{ site_name }}
+ {{ title }} has the most divisive ratings of any book on {{ site_name }}.
{% endblocktrans %}
diff --git a/bookwyrm/views/landing/landing.py b/bookwyrm/views/landing/landing.py
index 782cae24c..995d923ec 100644
--- a/bookwyrm/views/landing/landing.py
+++ b/bookwyrm/views/landing/landing.py
@@ -1,6 +1,6 @@
""" non-interactive pages """
from dateutil.relativedelta import relativedelta
-from django.db.models import Avg, StdDev, Count, Q
+from django.db.models import Avg, StdDev, Count, F, Q
from django.template.response import TemplateResponse
from django.utils import timezone
from django.views import View
@@ -29,13 +29,20 @@ def about(request):
books = models.Edition.objects.exclude(cover__exact="")
+ total_ratings = models.Review.objects.filter(user__local=True).count()
data["top_rated"] = books.annotate(
- rating=Avg("review__rating", filter=Q(review__user__local=True))
- ).filter(rating__gt=0).order_by("-rating").first()
+ rating=Avg("review__rating", filter=Q(review__user__local=True)),
+ rating_count=Count("review__rating", filter=Q(review__user__local=True)),
+ ).annotate(
+ weighted=F("rating") * F("rating_count") / total_ratings
+ ).filter(weighted__gt=0).order_by("-weighted").first()
data["controversial"] = books.annotate(
- deviation=StdDev("review__rating")
- ).filter(deviation__gt=0).order_by("-deviation").first()
+ deviation=StdDev("review__rating", filter=Q(review__user__local=True)),
+ rating_count=Count("review__rating", filter=Q(review__user__local=True)),
+ ).annotate(
+ weighted=F("deviation") * F("rating_count") / total_ratings
+ ).filter(weighted__gt=0).order_by("-weighted").first()
data["wanted"] = books.annotate(
shelf_count=Count("shelves", filter=Q(shelves__identifier="to-read"))